← Authors

Xiang Ren

171 papers · 2016–2025 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (195) 🌈 Renaissance Researcher (12) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (9) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (46) 🀝 Dynamic Duo (31) πŸ† Keyword Champion πŸ”¬ Deep Specialist (22) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Grand Slam ❓ The Questioner (12) πŸ“ˆ Trend Setter πŸ’Ž Century Club (171) πŸ—ƒοΈ Keyword Collector (595) πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer ⚑ Prolific Year (23)

Conferences

EMNLP (56) ACL (46) NAACL (19) IJCNLP (15) ICLR (12) NIPS (10) AAAI (4) ICML (4) IJCAI (2) AISTATS (1) CORL (1) EACL (1)

Top co-authors

Bill Yuchen Lin (31) Yejin Choi (17) Qinyuan Ye (17) Jiawei Han (15) Dong-Ho Lee (13) Jay Pujara (12) Xisen Jin (12) Jun Yan (12) Aaron Chan (11) Woojeong Jin (11)

Research topics

Social (1)

Keywords

large language model (21) language model (14) reinforcement learning (14) text classification (13) commonsense reasoning (12) knowledge graph (9) few-shot learning (9) knowledge distillation (9) named entity recognition (9) question answering (8) continual learning (8) sequence labeling (8) relation extraction (8) distant supervision (8) pre-trained language model (7) representation learning (6) attention mechanism (6) multi-hop reasoning (6) transfer learning (6) model compression (5)

Papers

REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance NAACL 2025
Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries EMNLP 2025
CAVE: Controllable Authorship Verification Explanations NAACL 2025
Stepwise Informativeness Search for Improving LLM Reasoning EMNLP 2025
Improving Language Model Personas via Rationalization with Psychological Scaffolds EMNLP 2025
Rethinking Backdoor Detection Evaluation for Language Models EMNLP 2025
Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025
Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time EMNLP 2025
Attributing Culture-Conditioned Generations to Pretraining Corpora ICLR 2025
ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations ACL 2025
Diverging Preferences: When do Annotators Disagree and do Models Know? ICML 2025
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs ACL 2024
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification ACL 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures NIPS 2024
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack NIPS 2024
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild EMNLP 2024
Symbolic Working Memory Enhances Language Models for Complex Rule Application EMNLP 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search EMNLP 2024
Instruction-following Evaluation through Verbalizer Manipulation NAACL 2024
WINOVIZ: Probing Visual Properties of Objects Under Different States NAACL 2024
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning ICLR 2024
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ICLR 2024
WildChat: 1M ChatGPT Interaction Logs in the Wild ICLR 2024
Tailoring Self-Rationalizers with Multi-Reward Distillation ICLR 2024
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection NAACL 2024
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement ICML 2024
Estimating Large Language Model Capabilities without Labeled Test Data EMNLP 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023
LLM-driven Instruction Following: Progresses and Concerns EMNLP 2023
Exploring Distributional Shifts in Large Language Models for Code Analysis EMNLP 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023
BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning ACL 2023
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales ACL 2023
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales ICLR 2023
Dataless Knowledge Fusion by Merging Weights of Language Models ICLR 2023
REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023
On Grounded Planning for Embodied Tasks with Language Models AAAI 2023
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction EACL 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance CORL 2023
Symbolic Chain-of-Thought Distillation: Small Models Can Also β€œThink” Step-by-Step ACL 2023
Cross-lingual Continual Learning ACL 2023
Faith and Fate: Limits of Transformers on Compositionality NIPS 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation ACL 2023
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models ACL 2023
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons ACL 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion ACL 2023
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks NIPS 2023
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners EMNLP 2022
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022
Contextualized Scene Imagination for Generative Commonsense Reasoning ICLR 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ICML 2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora NAACL 2022
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models NAACL 2022
NS3: Neuro-symbolic Semantic Code Search NIPS 2022
Unsupervised Cross-Task Generalization via Retrieval Augmentation NIPS 2022
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language ACL 2022
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation ACL 2022
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER ACL 2022
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer ACL 2022
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models ACL 2022
On Continual Model Refinement in Out-of-Distribution Data Streams ACL 2022
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering ACL 2022
Knowledge-Augmented Methods for Natural Language Processing ACL 2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora ACL 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ACL 2022
On the Robustness of Reading Comprehension Models to Entity Renaming NAACL 2022
NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge NAACL 2022
Machine Translation Robustness to Natural Asemantic Variation EMNLP 2022
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality EMNLP 2022
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts EMNLP 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022
Learning Contextualized Knowledge Structures for Commonsense Reasoning IJCNLP 2021
Improving Counterfactual Generation for Fair Hate Speech Detection IJCNLP 2021
X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering NAACL 2021
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning NAACL 2021
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names NAACL 2021
Differentiable Open-Ended Commonsense Reasoning NAACL 2021
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization AAAI 2021
Modality-specific Distillation NAACL 2021
Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021
Learning Contextualized Knowledge Structures for Commonsense Reasoning ACL 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data IJCNLP 2021
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation EMNLP 2021
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources EMNLP 2021
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation EMNLP 2021
ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning EMNLP 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP 2021
On the Influence of Masking Policies in Intermediate Pre-training EMNLP 2021
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms EMNLP 2021
Discretized Integrated Gradients for Explaining Language Models EMNLP 2021
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding EMNLP 2021
Probing Commonsense Explanation in Dialogue Response Generation EMNLP 2021
Using Word Embedding to Reveal Monetary Policy Explanation Changes EMNLP 2021
Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk EMNLP 2021
Refining Language Models with Compositional Explanations NIPS 2021
Do Language Models Perform Generalizable Commonsense Inference? ACL 2021
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning IJCNLP 2021
Pre-training Text-to-Text Transformers for Concept-centric Common Sense ICLR 2021
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation ICLR 2021
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge ACL 2021
Learning to Generate Task-Specific Adapters from Task Description ACL 2021
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding ACL 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data ACL 2021
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning ACL 2021
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning NIPS 2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning NIPS 2021
Do Language Models Perform Generalizable Commonsense Inference? IJCNLP 2021
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge IJCNLP 2021
Learning to Generate Task-Specific Adapters from Task Description IJCNLP 2021
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding IJCNLP 2021
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering EMNLP 2020
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020
Facet-Aware Evaluation for Extractive Summarization ACL 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL 2020
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ACL 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL 2020
Screenplay Quality Assessment: Can We Predict Who Gets Nominated? ACL 2020
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning EMNLP 2020
Visually Grounded Continual Learning of Compositional Phrases EMNLP 2020
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs EMNLP 2020
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models EMNLP 2020
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery EMNLP 2020
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020
Teaching Machine Comprehension with Compositional Explanations EMNLP 2020
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora EMNLP 2020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning EMNLP 2020
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models ICLR 2020
Learning from Explanations with Neural Execution Tree ICLR 2020
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution IJCAI 2020
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training IJCAI 2020
Mining Entity Synonyms with Efficient Neural Set Generation AAAI 2019
Hierarchical Text Classification with Reinforced Label Assignment IJCNLP 2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning IJCNLP 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning IJCNLP 2019
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction IJCNLP 2019
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes IJCNLP 2019
HMEAE: Hierarchical Modular Event Argument Extraction IJCNLP 2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision NAACL 2019
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering NAACL 2019
Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019
Learning Dynamic Context Augmentation for Global Entity Linking EMNLP 2019
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) ACL 2019
KCAT: A Knowledge-Constraint Typing Annotation Tool ACL 2019
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging ACL 2019
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis ACL 2019
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction AAAI 2019
Learning Dynamic Context Augmentation for Global Entity Linking IJCNLP 2019
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) EMNLP 2019
HMEAE: Hierarchical Modular Event Argument Extraction EMNLP 2019
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes EMNLP 2019
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction EMNLP 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning EMNLP 2019
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ICML 2018
Hierarchical Graph Representation Learning with Differentiable Pooling NIPS 2018
End-to-End Reinforcement Learning for Automatic Taxonomy Induction ACL 2018
Learning Named Entity Tagger using Domain-Specific Dictionary EMNLP 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling EMNLP 2018
Scalable Construction and Reasoning of Massive Knowledge Bases NAACL 2018
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach EMNLP 2017
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences ACL 2017
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding EMNLP 2016
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016
Cross-media Event Extraction and Recommendation NAACL 2016